How to use yun2022/linux-meta-llama with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf yun2022/linux-meta-llama # Run inference directly in the terminal: llama cli -hf yun2022/linux-meta-llama
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf yun2022/linux-meta-llama # Run inference directly in the terminal: llama cli -hf yun2022/linux-meta-llama
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf yun2022/linux-meta-llama # Run inference directly in the terminal: ./llama-cli -hf yun2022/linux-meta-llama
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf yun2022/linux-meta-llama # Run inference directly in the terminal: ./build/bin/llama-cli -hf yun2022/linux-meta-llama
docker model run hf.co/yun2022/linux-meta-llama
How to use yun2022/linux-meta-llama with Ollama:
ollama run hf.co/yun2022/linux-meta-llama
How to use yun2022/linux-meta-llama with Docker Model Runner:
How to use yun2022/linux-meta-llama with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull yun2022/linux-meta-llama
lemonade run user.linux-meta-llama-{{QUANT_TAG}}
lemonade list
